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Autokorelasi Spasial Lokal×Indikator Lokal Asosiasi Spasial (LISA)×
BidangAnalisis SpasialAnalisis Spasial
KeluargaRegression modelRegression model
Tahun asal19951995
PencetusLuc AnselinLuc Anselin
TipeSpatial association analysisLocal spatial statistic
Sumber perintisAnselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Aliaslocal spatial association, local SA, LISA methods, local spatial clusteringLISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Terkait66
RingkasanLocal Spatial Autocorrelation methods decompose global spatial clustering into location-specific statistics, revealing where in a study area significant clustering or dispersion occurs. Each observation receives its own association score and significance value, enabling the detection of spatial hot spots, cold spots, and spatial outliers rather than reporting a single summary statistic.LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence.
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ScholarGateBandingkan metode: Local Spatial Autocorrelation · Local Indicators of Spatial Association. Diakses 2026-06-19 dari https://scholargate.app/id/compare